A needlet ILC analysis of WMAP 7-year data: estimation of CMB temperature map and power spectrum

Abstract

The WMAP 7-year temperature maps have been re-analized to extract a CMB map and CMB power spectrum with reduced contamination by astrophysical foregrounds and noise. The method used is based on linear combinations of WMAP data and foreground templates, implemented on a decomposition of the observations onto a needlet frame. We obtain a clean CMB map with low contamination from foregrounds and noise, as well as a new estimate of the CMB temperature power spectrum. The latter is essentially compatible with the power spectrum published by the WMAP collaboration, although it is slightly but systematically lower on large scales. The exact origin of this discrepancy is not clear.

14 pages, 9 figures

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• Direct measurement of the angular power spectrum of cosmic microwave background temperature anisotropies in the WMAP Data
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• Forecast of foreground cleaning strategies for AliCPT-1
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• Forecast of CMB TB and EB correlations for AliCPT-1
• Weak Lensing Magnification Reconstruction with the Modified Internal Linear Combination Method
• Testing synchrotron models and frequency resolution in BINGO 21 cm simulated maps using GNILC
• Unexplained correlation between the Cosmic Microwave Background temperature and the local matter density distribution
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• An Accurate Reconstruction of CMB E Mode Signal over Large Angular Scales using Prior Information of CMB Covariance Matrix in ILC Algorithm
• Deep Needlet: A CNN based full sky component separation method in Needlet space
• Application of Genetic Algorithm to Estimate the Large Angular Scale Features of Cosmic Microwave Background
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• Forecasts of effects of beam systematics and deprojection on the third-generation ground-based cosmic microwave background experiment
• Foreground removal and angular power spectrum estimation of 21 cm signal using harmonic space ILC method
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